Laura Freeman

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks

2021 · 2021 IEEE Global Communications Conference (GLOBECOM)

Success of machine learning algorithms hinges on access to labeled dataset. Obtaining a labeled dataset is an expensive, challenging and time-consuming process, leading to the development of transfer learning (TL) methodology. TL incorporates gained knowledge …

Anticipating Spectrogram Classification Error With Combinatorial Coverage Metrics

2023

Recently, combinatorial interaction testing (CIT) has been applied to machine learning. Recent results demonstrate that combinatorial coverage metrics can correlate with classification error. However, these methods have not been applied to the area of cognitive …